New 
Senior Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 07, 2025 | |
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OverviewAre you interested in developing next-generation visual/screen models? Our team is at the forefront in redefining the PC with Copilot+ AI-powered capabilities that are intelligent, secure, and efficient. We're building a faster, more intuitive, and human-centric computing future. We are seeking a highly motivated Senior Applied Scientist to join our team in building cutting-edge visual models optimized for on-device inference. This role is ideal for candidates passionate about deep learning, model optimization, and deploying efficient AI solutions on constrained hardware platforms.As a Senior Applied Scientist, you will work with a cross-functional team to bring vision and UI-centric models to life by training models, developing datasets for training/evaluation, and balancing requirements including inference time, power consumption, and model accuracy. This opportunity will allow you to grow your capabilities with deep learning, model optimization, and deploying efficient AI solutions on constrained hardware platforms.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesBe part of a team contributing to pre- and post-training efforts for visual models pertaining to screen understanding.Explore and implement Transformer-based architectures and suggest architectural improvements for efficiency and scalability.Use techniques like distillation, adapters, and Low Rank Adapters (LoRAs) to build upon existing models.Optimize models for on-device inference using techniques such as quantization and debugging models.Conduct performance tuning and model evaluation across diverse silicon platforms (e.g., Neural Processing Units--NPUs, GPUs, custom accelerators).Collaborate with cross-functional teams to integrate models into production pipelines and validate performance in real-world scenarios.Contribute to internal model libraries and tooling for deployment across multiple hardware toolchains.Embody ourCultureandValues. | |